286 search results - page 35 / 58 » Learning to Classify Texts Using Positive and Unlabeled Data |
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
64
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
: ? Feature Shaping for Linear SVM Classifiers George Forman, Martin Scholz, Shyamsundar Rajaram HP Laboratories HPL-2009-31R1 text classification machine learning, feature weighti...
NAACL
2007
14 years 11 months ago
2007
We propose a method for extracting semantic orientations of phrases (pairs of an adjective and a noun): positive, negative, or neutral. Given an adjective, the semantic orientatio...
ACL
2012
13 years 3 days ago
2012
The named entity disambiguation task is to resolve the many-to-many correspondence between ambiguous names and the unique realworld entity. This task can be modeled as a classifi...
94
Voted
ACL
2006
14 years 11 months ago
2006
This paper investigates a machine learning approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning ...